Require that APIs handling high volumes of records offer explicit batch operations rather than forcing consumers to hammer single-resource endpoints in a loop. Every API must define clear semantics for how a batch request is submitted, how partial success and per-item errors are reported, and what limits apply. I have seen well-meaning integrations melt a backend simply because the only path forward was thousands of individual calls, and that is a design failure, not a consumer failure. Thoughtful batch endpoints let both sides scale efficiently and keep the contract honest about what the platform can actually sustain under load.
Batch Operations (Design)
Strategies
APIs Scale Efficiently Under Load
All APIs must be designed to scale efficiently as consumer traffic and data volumes grow, employing caching, pagination, filtering, and batch operations to ensure consistent performance and avoid d...
Experiences
Scalability
Scalability is the experience of an API continuing to work well as demand grows from dozens of consumers to millions of requests. It touches infrastructure, rate limiting, caching, and design decis...
Performance
Performance is the experience of how fast and consistently an API responds under real-world conditions. Latency, throughput, and predictability directly shape how consumers perceive an API and whet...
Contracts
Every API is a contract, and the contract experience is about how clearly the promises between provider and consumer are expressed. Technical contracts like OpenAPI and AsyncAPI describe what the A...
Lifecycle
design_services Design Design
Design is where the human experience of an API is won or lost. I work design-first, shaping the paths, schema, errors, and naming in the contract before development begins, so that consistency is b...
